MICDE / AIM Seminar: Lin Lin, Professor of Mathematics at University of California Berkeley
East Hall - 1084Quantum algorithms for eigenvalue problems
Quantum algorithms for eigenvalue problems
Supercomputing at the exascale and beyond: future trends and challenges
Multi-scale modeling of the evolution of structure and properties in materials for nuclear energy applications
Women in Computational ScienceThe Women in Computational Science Symposium is the inaugural event for MICDE's DISCOVER (Diversity and Innovation in Scientific Computing: Opportunities for Valuing Exploration and Representation) mini-symposium series. […]
Cosmological Hydrodynamical Simulations and Machine Learning at the Intersection of Galaxy Formation and Cosmology
UQ for ML and ML for UQ: Why Uncertainty Quantification and Machine Learning Go Hand-in-Hand
MCMC, variational inference, and reverse diffusion Monte Carlo
Large Eddy Simulation of Turbulent Cavitating Flows
2024 Nobel Prizes in Physics and Chemistry
Physical Mechanisms or Learned Patterns? Reconciling First-Principles Models with Machine Learning for Predictive Materials